Method and system for determining and improving behavioral index

ABSTRACT

The present invention provides methods and systems determining the behavioural index of a user. The present invention involves analyzing the user&#39;s behaviour and linguistic parameters using a smart wearable device. Basis the analysis, user&#39;s behavioural index is suitably determined, modified and informed to the user.

FIELD OF THE INVENTION

The present invention relates generally to the field of analyzing userbehaviour and in particularly relates to methods and systems fordetermining and improving behavioural index of user using a smartwearable device.

BACKGROUND OF THE INVENTION

Behaviour is a large component of how individuals communicate with eachother. The behaviour varies from individual to individual. Thus, eachindividual communicates and reacts based on its respective behaviouralnature. The behaviour nature of a person does not always remain the sameand may change with the changing circumstances. For instance, anindividual in stress may behave differently when not in stress. As aresult of stressed circumstances, an individual may not behave properlyand may reach differently to other individuals. The consequences of suchimproper or misbehaviour may have serious repercussions such as forexample, social breakdown or even conflict with other individuals. Inthe past, many solutions have attempted to collect and gatherinformation to aid individuals in understanding health, behaviour andvarious surrounding conditions. These systems have been limited in scopeand capabilities, as they have not, among other things, adequatelyaddressed the need to provide recommendations to change or improve thebehaviour on a real time basis.

Accordingly, there exists a need to develop methods and systems that cananalyze an individual's behaviour and assist them in improving theirbehavioural index.

SUMMARY OF THE INVENTION

In an embodiment, a method of determining the behavioural index of auser is provided. The method including the steps of: analyzing, using asmart device, one or more behaviour and linguistic parameters relatingto said user; identifying count values corresponding to said morebehaviour and linguistic parameters; comparing said count values withpre-defined threshold values corresponding to said more behaviour andlinguistic parameters; and determining one or more of behaviour index,dignity index, linguistic index of user based on said comparison;providing said user with one or more recommendations based on saidbehaviour index.

It is an object of the invention to record resolutions taken by theusers and recommend appropriate actions when said resolutions are notmet and not properly followed by the user.

It is another object of the invention to recommend actions based onvoice modulations of the user.

It is another object of the invention to suggest and correctpronunciation, modulation of the letter/word/sentence/syllable etc.

To further clarify advantages and features of the present invention, amore particular description of the invention will be rendered byreference to specific embodiments thereof, which is illustrated in theappended drawings. It is appreciated that these drawings depict onlytypical embodiments of the invention and are therefore not to beconsidered limiting of its scope. The invention will be described andexplained with additional specificity and detail with the accompanyingdrawings.

BRIEF DESCRIPTION OF FIGURES

These and other features, aspects, and advantages of the presentinvention will become better understood when the following detaileddescription is read with reference to the accompanying drawings in whichlike characters represent like parts throughout the drawings, wherein:

FIG. 1 shows a flowchart for a method of determining the behaviouralindex of a user in accordance with an embodiment of the presentinvention;

FIG. 2 shows a block diagram of the broad level system for determiningthe behavioural index of a user in accordance with an embodiment of thepresent invention;

FIG. 3 shows a block diagram of the smart wearable device as referred inFIG. 2 in accordance with an embodiment of the present invention;

FIG. 4(a)-(b) show a block diagram of the modules of the smart wearabledevice and application server respectively in accordance with anembodiment of the present invention;

FIG. 5 shows a flow chart for identifying availability of the word asspoken by the user in accordance with an exemplary embodiment of thepresent invention;

FIG. 6 shows a flow chart for analyzing the voice pattern of the speechsignal as spoken by the user in accordance with an exemplary embodimentof the present invention;

FIG. 7 shows a flow chart for analyzing the text pattern in accordancewith an exemplary embodiment of the present invention; and

FIG. 8 shows a flow chart for illustrating the dignity policy inaccordance with an exemplary embodiment of the invention.

Further, skilled artisans will appreciate that elements in the drawingsare illustrated for simplicity and may not have been necessarily beendrawn to scale. For example, the flow charts illustrate the method interms of the most prominent steps involved to help to improveunderstanding of aspects of the present invention. Furthermore, in termsof the construction of the device, one or more components of the devicemay have been represented in the drawings by conventional symbols, andthe drawings may show only those specific details that are pertinent tounderstanding the embodiments of the present invention so as not toobscure the drawings with details that will be readily apparent to thoseof ordinary skill in the art having benefit of the description herein.

DETAILED DESCRIPTION

For the purpose of promoting an understanding of the principles of theinvention, reference will now be made to the embodiment illustrated inthe drawings and specific language will be used to describe the same. Itwill nevertheless be understood that no limitation of the scope of theinvention is thereby intended, such alterations and furthermodifications in the illustrated system, and such further applicationsof the principles of the invention as illustrated therein beingcontemplated as would normally occur to one skilled in the art to whichthe invention relates.

It will be understood by those skilled in the art that the foregoinggeneral description and the following detailed description are exemplaryand explanatory of the invention and are not intended to be restrictivethereof.

Reference throughout this specification to “an aspect”, “another aspect”or similar language means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment of the present invention. Thus, appearancesof the phrase “in an embodiment”, “in another embodiment” and similarlanguage throughout this specification may, but do not necessarily, allrefer to the same embodiment.

The terms “comprises”, “comprising”, or any other variations thereof,are intended to cover a non-exclusive inclusion, such that a process ormethod that comprises a list of steps does not include only those stepsbut may include other steps not expressly listed or inherent to suchprocess or method. Similarly, one or more devices or sub-systems orelements or structures or components proceeded by “comprises . . . a”does not, without more constraints, preclude the existence of otherdevices or other sub-systems or other elements or other structures orother components or additional devices or additional sub-systems oradditional elements or additional structures or additional components.

Unless otherwise defined, all technical and scientific terms used hereinhave the same meaning as commonly understood by one of ordinary skill inthe art to which this invention belongs. The system, methods, andexamples provided herein are illustrative only and not intended to belimiting.

Embodiments of the present invention will be described below in detailwith reference to the accompanying drawings.

FIG. 1 illustrates a flowchart for a method of determining thebehavioural index of a user. The method 100 includes step 102 ofanalyzing, using a smart device, one or more behaviour and linguisticparameters relating to said user. The smart device is generally a smartwearable device, including but not limited, to a smart watch, smartfitness bands, smart shoes, smart glass, smart earphones/headphones,smart clothing, smart jewellery to name a few. The smart device isconfigured to operationally interconnect to a mobile device. Thebehavioural parameters include, but not limited to, clear signs ofdistress, erratic behaviour, threatening words or actions, violent oraggressive behaviour, classroom disruptions, lack of responsiveness,lack of expression, relationship violence, alienation/isolation fromothers, words that convey clear intentions to harm oneself or others, orattempt suicide, including threats, gestures, ideations, and attempts,observing self-injurious behaviour (such as cutting or burning), extremerudeness or insubordination towards people (known or unknown), Extremeor sudden changes in behaviour, facial expressions, action tendenciesetc. The linguistic parameters include, but not limited to, language,formal & informal use of language, grammar, flow of words, bad words,word resolutions level of vocabulary, use of different languages, depthof language etc. The method 100 further includes step 104 of identifyingcount values corresponding to said one or more behaviour and linguisticparameters and step 106 of comparing said count values with pre-definedthreshold values corresponding to said one or more behaviour andlinguistic parameters. The threshold values are pre-defined and may beupdated from time to time. The threshold values may vary from user touser. Based on the comparison, one or more indexes includingbehavioural, linguistic index and dignity index is determined in step108 and the user is provided with one or more recommendations ornotifications based on said determined behaviour index in step 110.

In an embodiment, the method 100 includes recording one or moreresolutions/decisions taken by users and the system will takeappropriate actions when such resolutions are not properly followed bythe user. Further, any compromise to such resolution/decisions aredetected by the system, then the system appropriately sendnotifications, alerts, warnings, indications to the user throughvibration, visual indication, sound, voice etc.

In an embodiment, the method 100 includes creating, modifying anddetermining the dignity index corresponding to a user. The analysisinvolves monitoring the nature of words spoken by the user, languageused by the user, decibel value of the user and so on. Based on theanalysis, the dignity index may be suitably modified. In anotherembodiment, the method 100 also includes monitoring voice modulations ofthe user.

In another embodiment, the method 100 further includes a pronunciationmodule (for suggestion of words, and correcting pronunciation,modulation of the letter/word/sentence/syllable etc). The method 100 isconfigured to record and provide a language summary for a specific timeperiod (day/week/month/year etc).

Referring to FIG. 2 , a block diagram of the broad level system fordetermining the behavioural index of a user is provided. The system 200includes a smart device 202 connected to a mobile device 204, anapplication server 206 and a database 212. The smart device 202preferably includes a smart wearable device 208. The smart wearabledevice 208, including but not limited, to a smart watch 210, smartfitness bands, smart shoes, smart glass, smart earphones/headphones,smart clothing, smart jewellery to name a few. The mobile device 204 isconfigured with an application which is capable of monitoring,recording, and analyzing the user data. The quantify valuescorresponding to the behaviour, linguistic, resolution parameters aremonitored using the smart device 202 and mobile device 204 andtransmitted to the application server 206. The application server 206processes and compares the subject real-time values with thresholdvalues, recommends and notifies the user based on such processing ofvalues. The database 212 stores all the details pertaining to variousactivities of the user required for determining the quantify valuescorresponding to the behaviour, linguistic, resolution parameters, alongwith the set of threshold values for each behaviour, linguistic patternand resolution. The database 212 may contain dictionary (specific forevery language, including way of speaking, slang, etc), grammatical dataof language, multi-linguistic dictionaries, conversational words etc. Inan embodiment, the database 210 may auto-cataloguewords/letters/sentences depending on the requirement. In an embodiment,the database maintains plurality of sub-data units to store differentset of information relating linguistic, verbal, vocal communication. Thesystem 200 is primarily configured to analyze the behaviour of the user(through voice variation, modulation etc) in real-time and notify(alert) the user, when the pre-set configuration/conditions (thresholdvalues) do not match.

Referring to FIG. 3 , a block diagram of the smart wearable device asreferred in FIG. 2 in accordance with an embodiment of the presentinvention is provided. The smart wearable device 206 includes acommunication module 302 that is configured to operationallyinterconnect with the mobile device 204 and application server 206. Thecommunication module 302 is responsible for communicating, transferringand receiving data from the mobile device 204 and application server206. The smart wearable device 206 further includes an I/O module 304that comprise a microphone 306, speaker 308 and a display unit 310. Themicrophone 306 is configured to record the voice of the user. Thespeaker 308 outputs the activities, instructions, codewords etc. Thedisplay unit 310 shows the notifications, updates or any activityrelated information, received from sensors 312, modules 314 or anyinformation received from the mobile device 204. The smart wearablemodules 314 are configured to analyze the behaviour, language of theuser, decibel value of the words spoken by the user. The sensors 312 maybe configured for recording the activities, voice variations of theuser. The sensors 312 may include, but not limited to accelerometer,gyroscope, sound sensor etc. The smart wearable device 206 furtherincludes a processing Controller 316 that is configured to analyze andprocess details of various activities and communicate the same to othermodules of the system 300.

Referring to FIG. 4 a , a block diagram of the modules of the smartwearable device as referred in FIG. 3 in accordance with an embodimentof the present invention is provided. The module 314 includes a slavebehavioural module 402S that is configured to detect behaviouralparameters of the user. The behavioural parameters include, but notlimited to, clear signs of distress, erratic behaviour, threateningwords or actions, violent or aggressive behaviour, classroomdisruptions, lack of responsiveness, lack of expression, relationshipviolence, alienation/isolation from others, words that convey clearintentions to harm oneself or others, attempt to suicide, includingthreats, gestures, ideations, and attempts, observing self-injuriousbehaviour (such as cutting or burning), extreme rudeness orinsubordination towards people (known or unknown), Extreme or suddenchanges in behaviour, facial expressions, action tendencies etc.

A slave linguistic module 404S is further provided for detecting andanalyzing the linguistic parameters. The linguistic parameters includebut not limited to language, formal & informal use of language, grammar,flow of words, bad words, level of vocabulary, use of differentlanguages, depth of language etc. The module 314 also includes a voicerecognition module 406 that is capable of analyzing the voice modulationof the user and hence detecting the voice parameters of the user. Asound detection unit 408 is provided to record various sounds in theenvironment apart from voice and works with voice recognition module, toefficiently detect the voice and modulation. A vibration unit 410 isprovided for sensing the variations through the smart wearable device.In an embodiment, the recorded voice of a user is processed by the voicerecognition module (microphone) 406 and split/charted with decibelindex. A decibel scale is created with respect to the existing decibelvalues (for each word, sentence, syllable stored in the database).

The module 314 also includes a slave resolution module 412S that isconfigured to record the resolutions taken by the users. The users canfeed any number of decisions/resolutions, which they would like to doand get the motivation. Any compromise to such resolutions/decisions isdetected and appropriately notifications are sent to the user throughvibration, visual indication, sound etc. For example, the resolutiongiven by user may be “I will not talk bad words”, the system uponreceiving, analyzes the content and appropriately creates a catalogue ofappropriate words (all bad words in this case) not to be pronounced bythe user.

The slave behavioural module 402S, slave linguistic module 404S, voicerecognition module 406, slave resolution module 412S are configured toanalyze individual decibel values and determine the decibel scale. Thevarious modules are mapped appropriately with the modules of applicationserver 206 as referred in FIG. 4 b . The modules of the applicationserver are referred to as primary modules and include a masterbehavioural module 402M, master linguistic module 404M, masterresolution module 412M. Each of the aforesaid modules is suitably mappedwith the slave modules of the smart wearable device. The details(values) monitored by the respective modules of the smart wearabledevice are compared with the threshold values by the respective modulesof the application server and accordingly appropriate notifications arecreated and alerts are sent to the user. The application server 206 alsoincludes dignity index module 414 that is configured to maintain adignity index with a credit value (for example a “Dignity credit”, ifuser speaks good words/pronunciation etc, the dignity credit willincrease) for every word, sentence etc. When the user speaks such word,then the system immediately responds with a message saying “Bad word isdetected, you sworn earlier not to use this word at any cost”, and “Yourdignity credit reduces if you continuously use this word”. The systemeventually keeps the user alert about his speaking. The system mayincorporate a machine learning algorithm which continuously absorbs andunderstands nature of various types of human interactions, in real-time.In an embodiment, the algorithm maintains different rules but notlimited to grammar, behaviour, activity etc. These rules arepre-programmed and appropriately updated in time to time. The analysisto determine the desired behavioural or linguistic or resolution indextakes place at both the slave and master modules. In another embodiment,the modules in smart wearable 208 are secondary modules and that ofapplication server 206 are primary modules.

Referring to FIG. 5 to FIG. 8 , flow charts for determining andadjusting the dignity index of a user in accordance with an exemplaryembodiment of the invention are provided. In the exemplaryimplementations, the dignity index is determined and adjusted bymonitoring and analyzing the voice and language spoken by the user. Thelinguistic module as described previously is primarily involved indetermining the dignity index based on the words used by the user whilespeaking.

Referring to FIG. 5 , a flow chart for identifying availability of theword as spoken by the user is illustrated. The flow chart begins atblock 502 wherein the first speech signal is detected and received atblock 504. The received speech signal is converted into text usingsuitable speech to text converters in block 506. Once the speech to textprocess is completed and detected by the system, it is ascertained ifthe text matches with a pre-stored dictionary word in block 508. If Nomatch is detected in block 508, the text is stored with the decibelvalue as a new word in the dictionary as indicated in block 510. If amatch is detected in block 508, the decibel value of the word text andthe pattern of the word text are analyzed separately as indicated inblock 512.

Referring to FIG. 6 , a flow chart for analyzing the voice pattern ofthe speech signal as spoken by the user is illustrated. The flow chartis illustrated to analyze the decibel level of the word text referred inblock 512 in FIG. 5 . At block 602, the decibel level is matched with afirst pre-stored threshold level. In case the decibel level is less thanthe first-threshold level, an error is set to the user that the decibelanalysis cannot be done in block 604. In case the decibel level ishigher than the first-threshold level based on the matching done inblock 602, a comparison is performed to determine if the decibel levelis between pre-defined first threshold level and pre-defined secondthreshold level in block 606. Considering the comparison, if it isdetermined that the decibel level is between the pre-defined first andsecond threshold level, the decibel level is stored as first set of datain block 608 and if it is determined that the decibel level is above thepre-defined second threshold level at block 610, the decibel level isstored as second set of data in block 612.

Referring to FIG. 7 , a flow chart for analyzing the text pattern isillustrated. The flow chart is illustrated to analyze the pattern of theword text referred in block 512 in FIG. 5 . At block 702, the textpattern is analyzed, if it contains a pre-defined word categorized as abad word. If the analysis indicates that the text pattern contains a badword, the words are stored as third set of data in block 704. In thealternative, if the analysis indicates that the text pattern contains apre-defined good word in block 706, the words are stored as fourth setof data in block 708. In case the text does not contain a good word (ormay be a neutral word) in block 708, the words are stored as fifth setof data in block 710.

Referring to FIG. 8 , a flow chart for illustrating the dignity policyin accordance with an exemplary embodiment of the invention isillustrated. The dignity policy is defined to adjust the dignity indexof the user. Reference may be made to FIGS. 5-7 for the purposes ofexplanation of FIG. 8 . The flow chart begins with receiving of first,second, third, fourth, and fifth set of data (as derived in FIGS. 6 andFIGS. 7 ) in block 802. Based on the analysis in respect of the first,second, third, fourth, and fifth set of data, the dignity index issuitably determined, modified and adjusted. If the decibel level isfound to be of ‘high’ level (more than a threshold level set by thesystem) and the text pattern is found to contain a ‘bad word’ in block804, the dignity index is decreased by 3 points as shown in block 806.If the decibel level is found to be of ‘medium’ level and the textpattern is found to contain a ‘bad word’ in block 808, the dignity indexis decreased by 2 points as shown in block 810. If the decibel level isfound to be of ‘low’ level and the text pattern is found to contain a‘bad word’ in block 812, the dignity index is decreased by 1 point asshown in block 814. If the decibel level is found to be of ‘high’ leveland the text pattern is found to contain a ‘good word’ in block 816, thedignity index is increased by 3 points as shown in block 818. If thedecibel level is found to be of ‘medium’ level and the text pattern isfound to contain a ‘good word’ in block 820, the dignity index isincreased by 2 points as shown in block 822; else the dignity index isincreased by 1 point as shown in block 824. Thus, it can be noticed thatthe dignity index is varied based on the decibel value and the nature ofwords spoken by the user. In an embodiment, an instant notification andalert is sent to the user (preferably, to a smart wearable device),whenever the user speaks any bad word and the same is detected by thesystem. In an embodiment, the dignity index may be varied based on thenumber of good or bad words spoken by the user. The list of good wordsand bad words are pre-defined by the user or system and may be updatedfrom time to time.

The drawings and the forgoing description give examples of embodiments.Those skilled in the art will appreciate that one or more of thedescribed elements may well be combined into a single functionalelement. Alternatively, certain elements may be split into multiplefunctional elements. Elements from one embodiment may be added toanother embodiment. For example, orders of processes described hereinmay be changed and are not limited to the manner described herein.Moreover, the actions of any flow diagram need not be implemented in theorder shown; nor do all of the acts necessarily need to be performed.Also, those acts that are not dependent on other acts may be performedin parallel with the other acts. The scope of embodiments is by no meanslimited by these specific examples. Numerous variations, whetherexplicitly given in the specification or not, such as differences instructure, dimension, and use of material, are possible. Benefits, otheradvantages, and solutions to problems have been described above withregard to specific embodiments.

I claim:
 1. A method for improving behavior of a user of a smart device,comprising: analyzing, using the smart device, a plurality of behaviorand linguistic parameters relating to the user; identifying count valuescorresponding to the plurality of behavior and linguistic parameters;comparing the count values with pre-defined threshold valuescorresponding to the plurality of behavior and linguistic parameters;determining a behavior index, a dignity index, and a linguistic index ofthe user based on said comparison; generating and sending acommunication to provide the user with at least one recommendation basedon the behavior index, the dignity index, and the linguistic index; inresponse to the communication with the at least one recommendation beingprovided to the user, modifying the behavior index, the dignity index,and the linguistic index of the user, wherein the dignity index ismodified based at least in part by: detecting a speech signal of theuser; converting the speech signal into text comprising a plurality ofwords; computing a decibel level corresponding with the speech signal;selecting at least one word from the plurality of words to estimatepresence of the at least one word within a dictionary comprising aplurality of pre-stored words; storing the at least one word and thecorresponding decibel level as a new word within the dictionary when theat least one word is not found within the dictionary, wherein thedictionary is a personal dictionary of the user; classifying the decibellevel into at least one category of a decibel classification, whereinthe at least one category of the decibel classification has acorresponding range of decibel values, by: classifying the decibel levelinto a low category when the computed decibel level is lower than afirst threshold decibel value; classifying the decibel level into amedium category when the computed decibel level is within a range of thefirst threshold decibel value and a second threshold decibel value; andclassifying the decibel level into a high category when the decibellevel is greater than the second threshold decibel value; classifyingthe at least one word into at least one of a first list of words and asecond list of words, wherein the first list of words includespre-stored prohibited words for the user and the second list of wordsincludes pre-stored non-prohibited words for the user; computing anextent of modification required in the dignity index of the user inaccordance with the classification of the decibel level into at leastone category of the decibel classification and the classification of theat least one word into at least one of the first list and the secondlist of words; decreasing the dignity index by at least three pointswhen the decibel level is within the high category and when the leastone word is classified in the first list of words; decreasing thedignity index by at least two points when the decibel level is withinthe medium category and when the least one word is classified in thefirst list of words; and decreasing the dignity index by at least onepoint when the decibel level is within the low category and when theleast one word is classified in the first list of words; recording aplurality of resolutions undertaken by the user in response to thecommunication with the at least one recommendation being provided to theuser; detecting a compromise made by the user to at least one resolutionamong the plurality of resolutions; and notifying the user regarding thedetected compromise by directing a vibration device to vibrate to notifythe user regarding the detected compromise.
 2. The method as claimed inclaim 1, further comprising: alerting the user about non-analysis of thespeech signal when the computed decibel level is below a minimumthreshold level required for analyzing the computed decibel level. 3.The method as claimed in claim 1, further comprising: increasing thedignity index by at least three points when the decibel level is withinthe high category and when the least one word is classified in thesecond list of words; increasing the dignity index by at least twopoints when the decibel level is within the medium category and when theleast one word is classified in the second list of words; and increasingthe dignity index by at least one point when the decibel level is withinthe low category and when the least one word is classified in the secondlist of words.
 4. The method as claimed in claim 1, further comprising:recommending pronunciation and speech modulation of the at least oneword to the user.
 5. A system for improving behavior, comprising: asmart device comprising at least one hardware processor, and programinstructions stored in memory and executable in the smart device that,when executed, direct the smart device to: analyze a plurality ofbehavior and linguistic parameters relating to a user of the smartdevice; identify count values corresponding to the plurality of behaviorparameters and identify count values corresponding to the plurality oflinguistic parameters; perform a comparison of the count values withpre-defined threshold values corresponding to the plurality of behaviorand linguistic parameters; determine a behavior index, a dignity index,and a linguistic index of the user based on the comparison; generate andsend a communication to provide the user with at least onerecommendation based on the behavior index, the dignity index, and thelinguistic index; in response to the communication with the at least onerecommendation being provided to the user, modify the behavior index,the dignity index, and the linguistic index of the user, wherein thedignity index is modified based at least in part by: detecting a speechsignal of the user, convert the speech signal into text comprising aplurality of words, and compute a decibel level corresponding with thespeech signal; selecting at least one word from the plurality of wordsto estimate presence of the at least one word within a dictionarycomprising a plurality of pre-stored words; storing the at least oneword and the corresponding decibel level as a new word within thedictionary when the at least one word is not found within thedictionary, wherein the dictionary is a personal dictionary of the user;classifying the decibel level into at least one category of a decibelclassification, wherein the at least one category of the decibelclassification has a corresponding range of decibel values, by:classifying the decibel level into a low category when the computeddecibel level is lower than a first threshold decibel value; classifyingthe decibel level into a medium category when the computed decibel levelis within a range of the first threshold decibel value and a secondthreshold decibel value; and classifying the decibel level into a highcategory when the decibel level is greater than the second thresholddecibel value; classifying the at least one word into at least one of afirst list of words and a second list of words, wherein the first listof words includes pre-stored prohibited words for the user and thesecond list of words includes pre-stored non-prohibited words for theuser; computing an extent of modification required in the dignity indexof the user in accordance with the classification of the decibel levelinto at least one category of the decibel classification and theclassification of the at least one word into at least one of the firstlist and the second list of words; decreasing the dignity index by atleast three points when the decibel level is within the high categoryand when the least one word is classified in the first list of words;decreasing the dignity index by at least two points when the decibellevel is within the medium category and when the least one word isclassified in the first list of words; and decreasing the dignity indexby at least one point when the decibel level is within the low categoryand when the least one word is classified in the first list of words;record a plurality of resolutions undertaken by the user in response tothe communication with the at least one recommendation being provided tothe user; detect a compromise made by the user to at least oneresolution among the plurality of resolutions; and notify the userregarding the detected compromise to the user; and a vibration deviceconfigured to vibrate to notify the user regarding the detectedcompromise to the user.
 6. A method for improving behavior of a user ofa smart device, comprising: analyzing, using the smart device, aplurality of behavior and linguistic parameters relating to the user;identifying count values corresponding to the plurality of behavior andlinguistic parameters; performing a comparison of the count values withpre-defined threshold values corresponding to the plurality of behaviorand linguistic parameters; determining of a behavior index, a dignityindex, and a linguistic index of the user based on the comparison;providing the user with at least one recommendation based on the thebehavior index, the dignity index, and the linguistic index; in responseto the communication with the at least one recommendation being providedto the user, modifying the behavior index, the dignity index, and thelinguistic index of the user, wherein the dignity index is modifiedbased at least in part by: detecting a speech signal of the user;converting the speech signal into text comprising a plurality of words;and computing a decibel level corresponding with the speech signal;selecting at least one word from the plurality of words to estimatepresence of the at least one word within a dictionary comprising aplurality of pre-stored words; storing the at least one word and thecorresponding decibel level as a new word within the dictionary when theat least one word is not found within the dictionary, wherein thedictionary is a personal dictionary of the user; classifying the decibellevel into at least one category of a decibel classification, whereinthe at least one category of the decibel classification has acorresponding range of decibel values, by: classifying the decibel levelinto a low category when the computed decibel level is lower than afirst threshold decibel value; classifying the decibel level into amedium category when the computed decibel level is within a range of thefirst threshold decibel value and a second threshold decibel value; andclassifying the decibel level into a high category when the decibellevel is greater than the second threshold decibel value; classifyingthe at least one word into at least one of a first list and a secondlist of words, wherein the first list of words includes pre-storedprohibited words for the user and the second list of words includespre-stored non-prohibited words for the user; computing an extent ofmodification required in the dignity index of the user in accordancewith the classification of the decibel level into at least one categoryof the decibel classification and the classification of the at least oneword into at least one of the first list and the second list of words;increasing the dignity index by at least three points when the decibellevel is within the high category and when the least one word isclassified in the second list of words; increasing the dignity index byat least two points when the decibel level is within the medium categoryand when the least one word is classified in the second list of words;and increasing the dignity index by at least one point when the decibellevel is within the low category and when the least one word isclassified in the second list of words; recording a plurality ofresolutions undertaken by the user in response to the communication withthe at least one recommendation being provided to the user; detecting acompromise made by the user to at least one resolution among theplurality of resolutions; and notifying the user regarding the detectedcompromise by directing a vibration device to vibrate to notify the userregarding the detected compromise.
 7. The method according to claim 6,generating and communicating an alert to the user regarding non-analysisof the speech signal when the computed decibel level is below a minimumthreshold level required for analyzing the computed decibel level. 8.The method according to claim 6, further comprising: decreasing thedignity index by at least three points when the decibel level is withinthe high category and when the least one word is classified in the firstlist of words; decreasing the dignity index by at least two points whenthe decibel level is within the medium category and when the least oneword is classified in the first list of words; and decreasing thedignity index by at least one point when the decibel level is within thelow category and when the least one word is classified in the first listof words.
 9. The method according to claim 6, further comprisinggenerating and sending a communication that recommends pronunciation andspeech modulation of the at least one word to the user.